BrainTract: segmentation of white matter fiber tractography and analysis of structural connectivity using hybrid convolutional neural network
- 19 June 2025
- journal article
- Published by Elsevier in Neuroscience
- Vol. 580, 218-230
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Cross-species neuroanatomy in primates using tractographyBrain Structure and Function, 2025
- Improved neurological diagnoses and treatment strategies via automated human brain tissue segmentation from clinical magnetic resonance imagingIntelligent Medicine, 2024
- Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder networkSādhanā, 2024
- Correction to: Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approachesActa Neurologica Belgica, 2023
- Sparse and dense matrix multiplication hardware for heterogeneous multi-precision neural networksArray, 2021
- Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation2021
- SuperDTI: Ultrafast DTI and fiber tractography with deep learningMagnetic Resonance in Medicine, 2021
- DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography2019
- A majority rule approach for region-of-interest-guided streamline fiber tractographyBrain Imaging and Behavior, 2015
- Diffusion MRI and its Role in NeuropsychologyNeuropsychology Review, 2015